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GMM-based Handwriting Style Identification System for Historical Documents

Related publications (22)

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Despite the significant progress in recent years, deep face recognition is often treated as a "black box" and has been criticized for lacking explainability. It becomes increasingly important to understand the characteristics and decisions of deep face rec ...

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A Two-Step Approach To Leverage Contextual Data: Speech Recognition In Air-Traffic Communications

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Automatic Speech Recognition (ASR), as the assistance of speech communication between pilots and air-traffic controllers, can significantly reduce the complexity of the task and increase the reliability of transmitted information. ASR application can lead ...

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A game-based approach for evaluating and customizing handwriting training using an autonomous social robot

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Handwriting learning is a long and complex process that takes about ten years to be fully mastered. Nearly one-third of all children aged 4-12 experiences handwriting difficulties and, sadly, most of them are left to fight them on their own, due to the sca ...

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The transferability of handwriting skills: from the Cyrillic to the Latin alphabet

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Extending the Spectrum of Dysgraphia: A Data Driven Strategy to Estimate Handwriting Quality

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A large body of research suggests that robots could indeed be useful for supporting children in learning handwriting. However, few studies have investigated the role and use of tangible robots in teaching handwriting to children with attention and/or visuo ...

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EPFL2019